Full Stack Data Scientist

Join and contribute to the discovery of medicines that will impact lives! Aganitha, located in Hyderabad, India, aims to accelerate drug discovery and development for Biopharma and Biotech R&D using in silico solutions. These solutions leverage Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps to transform the biopharma and biotech industries. Aganitha's team of experts in Genomics, AI, and Cloud computing focuses on accelerating drug discovery and development. The joy of working in an innovation-rich, research-powered startup that bridges multiple disciplines to bring medicines faster for human use drives the team. Aganitha works with several innovative Biopharma companies and is expanding its client base globally. As a member of Aganitha, you will apply your full-stack data science capabilities to help researchers accelerate the investigation of human diseases, exploration, design, and optimization of therapeutic options, as well as the design, analysis, and optimization of reactions - both chemical and bio syntheses. Key Responsibilities: - Scope, define, and deliver AI-based data products covering data analysis, visualization, storytelling, and data technologies - Build models, algorithms, simulations, and performance evaluation using state-of-the-art machine learning technologies - Apply NLP techniques for mining knowledge from different types of data to derive insights for downstream processes - Develop models and serve with PyTorch / Tensor Flow (TF) for deep learning research - Translate business requirements into tangible solution specifications and high-quality deliverables - Build solutions for data discovery, acquisition, processing & cleaning, integration & storage, and interpretation - Define and manage production processes using machine learning models through MLOps pipelines - Work with stakeholders to analyze & solve business problems using ML & AI capabilities and support deployment on a cloud platform - Stay updated on industry trends, innovations, and developments in AI/ML Desired Skills / Expertise: - Experience in Natural Language Understanding, Computer Vision, Machine Learning, Optimisation - Building and deploying ML systems using frameworks like PyTorch, TensorFlow, Keras, sklearn, etc. - Expertise in modular, typed, and object-oriented Python programming - Proficiency in core data science languages (Python, R, Scala) and data systems (SQL, NoSQL, knowledge graphs) - Excellent communication skills for multidisciplinary team collaboration Educational Qualifications: - Bachelors / Masters / Ph.D. in Computer Science or related technical field Aganitha leverages a virtuous cycle of innovation between Fundamental Sciences and Computer/Data Science, with a multi-disciplinary team at the forefront of these disciplines.,